# Generative AI: Implications and Applications for Education

arXiv: https://arxiv.org/abs/2305.07605 · HTML: https://mlsanity.com/paper/2305.07605/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 61 references that are in the map.
- First posted on arXiv 12 May 2023.

## Builds on (most cited first, 5 of 5)

- [The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues](https://mlsanity.com/paper/2205.07540/) (2022)
- [ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models](https://mlsanity.com/paper/2304.07666/) (2023)
- [Truth Machines: Synthesizing Veracity in AI Language Models](https://mlsanity.com/paper/2301.12066/) (2023)
- [Structured Like a Language Model: Analysing AI as an Automated Subject](https://mlsanity.com/paper/2212.05058/) (2022)
- [Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency](https://mlsanity.com/paper/2304.11079/) (2023)

## Built on by (most cited first, 8 of 8)

- [User Modeling in the Era of Large Language Models: Current Research and Future Directions](https://mlsanity.com/paper/2312.11518/) (2023)
- [Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks](https://mlsanity.com/paper/2404.13099/) (2024)
- [Automating Thematic Analysis: How LLMs Analyse Controversial Topics](https://mlsanity.com/paper/2405.06919/) (2024)
- [Assessing AI-Generated Questions' Alignment with Cognitive Frameworks in Educational Assessment](https://mlsanity.com/paper/2504.14232/) (2025)
- [Comprehensive AI Assessment Framework: Enhancing Educational Evaluation with Ethical AI Integration](https://mlsanity.com/paper/2407.16887/) (2024)
- [Comparison of Large Language Models for Generating Contextually Relevant Questions](https://mlsanity.com/paper/2407.20578/) (2024)
- [BoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forums](https://mlsanity.com/paper/2409.13196/) (2024)
- [Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study](https://mlsanity.com/paper/2510.03374/) (2025)

## Abstract (arXiv)

The launch of ChatGPT in November 2022 precipitated a panic among some educators while prompting qualified enthusiasm from others. Under the umbrella term Generative AI, ChatGPT is an example of a range of technologies for the delivery of computer-generated text, image, and other digitized media. This paper examines the implications for education of one generative AI technology, chatbots responding from large language models, or C-LLM. It reports on an application of a C-LLM to AI review and assessment of complex student work. In a concluding discussion, the paper explores the intrinsic limits of generative AI, bound as it is to language corpora and their textual representation through binary notation. Within these limits, we suggest the range of emerging and potential applications of Generative AI in education.